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Data Hiding Fundamentals and Applications Content Security in Digital Multimedia

Langue : Anglais

Auteurs :

Couverture de l’ouvrage Data Hiding Fundamentals and Applications

Multimedia technologies are becoming more sophisticated, enabling the Internet to accommodate a rapidly growing audience with a full range of services and efficient delivery methods. Although the Internet now puts communication, education, commerce and socialization at our finger tips, its rapid growth has raised some weighty security concerns with respect to multimedia content. The owners of this content face enormous challenges in safeguarding their intellectual property, while still exploiting the Internet as an important resource for commerce.

Data Hiding Fundamentals and Applications focuses on the theory and state-of-the-art applications of content security and data hiding in digital multimedia. One of the pillars of content security solutions is the imperceptible insertion of information into multimedia data for security purposes; the idea is that this inserted information will allow detection of unauthorized usage.

Introduction. Frameworks for Data Hiding. Communication with Side Information and Data Hiding. Type-I (Linear) Data Hiding. Type-II and Type-III (Non-Linear) Data Hiding Methods. Advanced Implementations. Major Design Issues. Data Hiding Applications.
Engineers, computer scientists, and students doing research in multimedia signal processing, content security, and digital rights management (DRM) systems.
Ali N. Akansu received the BS degree from the Technical University of Istanbul, Turkey, in 1980, the MS and Ph.D degrees from the Polytechnic University, Brooklyn, New York in 1983 and 1987, respectively, all in Electrical Engineering. He has been with the Electrical & Computer Engineering Department of the New Jersey Institute of Technology since 1987. He was an academic visitor at David Sarnoff Research Center, at IBM T.J. Watson Research Center, and at GEC-Marconi Electronic Systems Corp. He was a Visiting Professor at Courant Institute of Mathematical Sciences of the New York University performed research on Quantitative Finance. He serves as a consultant to the industry. His current research and professional interests include theory of signals and transforms, financial engineering & electronic trading, and high performance DSP (FPGA & GPU computing).
  • Provides a theoretical framework for data hiding, in a signal processing context
  • Realistic applications in secure, multimedia delivery
  • Compression robust data hiding
  • Data hiding for proof of ownership--WATERMARKING
  • Data hiding algorithms for image and video watermarking

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